Ji-Hoon Bae

Assistant Professor / Ph.D.

Korea University

South Korea

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Ji-Hoon Bae is an Assistant Professor at Korea National University of Education, South Korea. His research focuses on transfer learning and its applications in network intrusion detection, leak detection in various industries, and image classification. His recent publications include works on deep feature fusion, ensemble models, and adversarial optimization techniques.

Articles (4)

Year:

2025

Year:

2025

Year:

2024

Year:

2021

Collaborators (1)

Min-suk Kim

Sangmyung University

SOUTH KOREA

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Ji-Hoon Bae

Research Interests

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Articles (4)

Deep Feature Fusion via Transfer Learning for Multi-Class Network Intrusion Detection

Feature Fusion Model Using Transfer Learning and Bidirectional Attention Mechanism for Plant Pipeline Leak Detection

Automatic Weight Redistribution Ensemble Model Based on Transfer Learning to Use in Leak Detection for the Power Industry

Adversarial Optimization-Based Knowledge Transfer of Layer-Wise Dense Flow for Image Classification

Collaborators (1)

Min-suk Kim

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